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Hyperscale Data (GPUS.US) Sells 1,113 BTC to Cash Out $74.4 Million, Switch to AI Infrastructure
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According to Woofun AI, Hyperscale Data (GPUS.US) completely ended its Bitcoin asset allocation strategy and monetized all remaining BTC reserves to accelerate the construction of artificial intelligence infrastructure. This aggressive reorganization of funds stemmed from the company's need to avoid financial liabilities and bets on high returns on AI computing power. By emptying crypto assets on its balance sheet, Hyperscale Data aims to bring the first 10 megawatts of critical information technology processing capacity in Michigan facilities online by December 2026. According to the company's CEO, this is the fastest path to profit.

According to data compiled by Woofun AI, this clearance was completed in multiple batches. Since the first sale of some of the reserves in late July 2026, the company has sold a total of about 1,113 BTC, earning about US$74.4 million, with an average sales price of approximately US$66,800 each. The last one was completed before November 8: the remaining 211.56 units were sold for approximately $76,000 each, making approximately $16 million. Prior to completing this transaction, as of November 1, 2026, the company held 211.4639 BTC, which was approximately US$16.5 million at the closing price of US$78,248 on the day, plus US$34.1 million in cash and restricted cash, with a total liquidity of approximately US$50.6 million. CEO Will Horne (Will Horne) said the move not only reduced the company's exposure to BTC price fluctuations, but also provided cash for debt repayment and construction in Michigan.

Notably, as early as September 1, 2026, the company stopped BTC mining operations at its Michigan plant, freeing up resources for AI computation tasks ahead of time.

In terms of business structure, Hyperscale Data is undergoing a fundamental transformation from cryptographic mining to AI computing power services. The Michigan facility's energy supply capacity is expected to reach 340 megawatts. As a key step in the transformation, the company signed a 10-year master services agreement with an artificial intelligence service provider headquartered in California on June 24, 2026. According to the agreement, 20 megawatts of dedicated processing capacity will initially be deployed, and later expanded up to 52 megawatts. The partnership is expected to bring the company more than 1.2 billion US dollars in revenue over a 10-year period; if customers exercise expansion options, total revenue is expected to exceed 3 billion US dollars.

Despite divesting most of its BTC reserves, management made it clear that it has not completely withdrawn from the Bitcoin field, the Montana factory will continue to be engaged in BTC mining business, and future BTC holdings will mainly come from their own mining output rather than spot market purchases.

This strategy of “preserving mining production capacity and divesting financial speculation” aims to balance cash flow with long-term strategic focus.

In terms of financial disclosure, Hyperscale Data plans to submit its quarterly report to the SEC until September 30, 2026 (Form 10-Q) by November 23, 2026. The Virtual Investor Day originally scheduled for November 12 has been rescheduled to the same day due to a Class A common share exchange offer. Management will explain the progress of debt reduction and progress of the December electricity target.

This series of actions shows that large data companies are redefining their asset portfolios to turn highly volatile crypto assets into more deterministic AI infrastructure revenue. This is another landmark case following the transformation of many mining companies. It indicates that the computing power infrastructure industry is undergoing a structural shift from “mining-driven” to “AI service-driven”.

Disclaimer:Webull uses external vendor Google Translation Service for news translations where we endeavour to ensure these are correct, however, we recommend that you please double-check this information accordingly. Webull is not responsible for translation errors or issues.
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